package com.neusoft.wc;
/**
 * jdk9以后的 启动VM参数
 * --illegal-access=deny
 * --add-opens java.base/java.lang=ALL-UNNAMED
 * --add-opens java.base/java.lang.reflect=ALL-UNNAMED
 * --add-opens java.base/java.lang.invoke=ALL-UNNAMED
 * --add-opens java.base/java.math=ALL-UNNAMED
 * --add-opens java.base/java.util=ALL-UNNAMED
 * --add-opens java.base/java.util.concurrent=ALL-UNNAMED
 * --add-opens java.base/java.net=ALL-UNNAMED
 * --add-opens java.base/java.text=ALL-UNNAMED
 */

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

public class StreamWordCount {
    public static void main(String[] args) throws Exception {
        // 1. 创建流式执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 2. 读取文件
        DataStreamSource<String> lineStream = env.readTextFile("D:\\bigdata\\m5-flink\\input\\words.txt");
        // 3. 转换、分组、求和，得到统计结果
        SingleOutputStreamOperator<Tuple2<String, Long>> sum = lineStream.flatMap(new FlatMapFunction<String, Tuple2<String, Long>>() {
                    @Override
                    public void flatMap(String line, Collector<Tuple2<String, Long>> out) throws Exception {

                        String[] words = line.split(" ");

                        for (String word : words) {
                            out.collect(Tuple2.of(word, 1L));
                        }
                    }
                }).keyBy(data -> data.f0)
                .sum(1);

        // 4. 打印
        sum.print();

        // 5. 执行
        env.execute();
    }

}
